Research Guidelines on Big Data and Data Analytics: A Survey

Abstract

Large number of devices and objects are now linked to the internet, to transmit data, and collect data back for analytics. The goal is here to utilize this data to make a positive impact on our lifestyle, energy conservation, transportation, and health. The term "Big Data" existed before IoT arrived to carry out the analytics. The management of Big Data in a constantly expanding network gives rise to non-trivial concerns regarding data collection efficiency, data processing, analytics, and security. In this effort, therefore we carry out a survey on Big Data technologies in different domains to make easy and inspire knowledge sharing across different fields. Based on the review, this work discusses an overview, architecture, applications, challenges, techniques, methodologies, privacy and technologies, similarities and differences among Big Data technologies used in different domains, proposes how sure Big Data technology used in one realm can be re-used in an additional area , and develops an abstract framework to outline the Big Data technologies. Then a structure may be established based on the emerging innovation behind data and analytics, managing, exploring and enabling the challenges in different task leads to the evolution of Big Data and Analytics.